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This paper is in the following e-collection/theme issue:

Applications of AI (855) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (2300) Decision Support for Health Professionals (2118) mHealth for Screening (446) Diabetes Surveillance and Epidemiology (56) Machine Learning (3049) Diabetes Prevention (164) Artificial Intelligence in Diabetes Care and Prevention (103)

Published on in Vol 4 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/68260, first published .
Doctors use futuristic holographic interface to analyze 3D human anatomy model.

Use of Automated Machine Learning to Detect Undiagnosed Diabetes in US Adults: Development and Validation Study

Use of Automated Machine Learning to Detect Undiagnosed Diabetes in US Adults: Development and Validation Study

Authors of this article:

Jianxiu Liu1, 2 Author Orcid Image ;   Fred Ssewamala3, 4 Author Orcid Image ;   Ruopeng An3, 5 Author Orcid Image ;   Mengmeng Ji6 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Dubský M, Liegertová M, Bém R, Sojáková D, Fejfarová V, Jude E. Artificial Intelligence in Diabetes Care. Diabetes, Obesity and Metabolism 2026;28(6):4587 View

Conference Proceedings

  1. Ali M, Dornaika F, Arganda-Carreras I, Ali H, Kassem A. 2026 IEEE 5th International Multidisciplinary Conference on Engineering Technology (IMCET). From Binary to Multi-Class: Benchmarking AutoGluon Against Classical Machine Learning for Diabetes Prediction and the Rise of Agentic Clinical AI View
  2. Imteyaz J, Meenakshi K, Singh K, Rana A, Kushwaha P, Bhargava D. 2026 International Conference on Innovations in Computational Intelligence (ICICI). An Explainable Machine Learning Framework for Early Detection of Diabetes View